横向空腔中湍流传输机制的拉格朗日和欧拉视角

Magdalena Barros, C. Escauriaza
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引用次数: 0

摘要

流经横向空腔的湍流动力学与多种环境应用相关。在河流和沿岸环境中,这些横向再循环区域构成了地表贮存区,大规模的湍流相干结构控制着污染物的传输和归宿。这些水流中的质量输运通常由一维一阶方程表示,该方程可预测空腔和主航道之间空间综合浓度的演变。然而,这些模型无法表示浓度的长期演变,也无法纳入湍流引起的记忆效应。在这项研究中,我们对 Mignot 等(《流体物理学》,第 28 卷,第 4 期,2016 年,045104)提出的带有横向方形空腔的明渠流进行了大涡流模拟(LES)。该模型与平流扩散方程和拉格朗日粒子模型相结合,研究了空腔内和跨界面的传输机制。通过模拟,我们从两个角度对物理过程进行了定量比较,并从有限时间 Lyapunov 指数研究了湍流相干结构对停留时间和轨迹的影响。从拉格朗日结果中,我们确定了空腔中与相干结构动力学相关的时间尺度的一般空间分布,为了解驱动全球传输的机制提供了新的视角。我们还表明,以 LES 为基础、基于分数导数的放大模型可以捕捉浓度的演变以及空腔与主通道之间的交换,从而准确预测质量传输,并再现在更大尺度上观察到的时间依赖性。
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Lagrangian and Eulerian perspectives of turbulent transport mechanisms in a lateral cavity
The dynamics of turbulent flows past lateral cavities is relevant for multiple environmental applications. In rivers and coastal environments, these lateral recirculating regions constitute surface storage zones, where large-scale turbulent coherent structures control the transport and fate of contaminants. Mass transport in these flows is typically represented by one-dimensional first-order equations that predict the evolution of the spatially integrated concentration between the cavity and the main channel. These models, however, cannot represent the long-term evolution of the concentration or incorporate memory effects induced by turbulence. In this investigation, we carry out large-eddy simulations (LES) of the open-channel flow with a lateral square cavity of Mignot et al. (Phys. Fluids, vol. 28, issue 4, 2016, 045104). The model is coupled with an advection–diffusion equation and a Lagrangian particle model to investigate the transport mechanisms in the cavity and across the interface. From the simulations we provide quantitative comparisons of the physical processes from both perspectives, and investigate the effects of turbulent coherent structures on residence times and trajectories from finite-time Lyapunov exponents. From the Lagrangian results, we identify general spatial distributions of time scales in the cavity associated with the dynamics of coherent structures, providing new insights into the mechanisms that drive the global transport. We also show that an upscaled model informed by LES and based on a fractional derivative captures the evolution of concentration, and the exchange between the cavity and the main channel, providing accurate predictions of mass transport and reproducing the temporal dependence observed at larger scales.
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